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L-iquor/README.md

Honglin Liao

Applied AI Product Builder · Financial Markets · Agent Systems

I turn ambiguous, high-stakes operating workflows into reliable AI products—from discovery and architecture through APIs, evaluation, deployment, and adoption.

My background combines hands-on agent building with live commercial operations, private-wealth product delivery, fund diligence, and credit-risk analytics.

Featured case study

Molly — Evidence-First Multimodal Operations Agent

Molly — Evidence-First Multimodal Operations Agent

A closed-source production case study showing how I make a non-deterministic multimodal agent accountable through evidence contracts, evaluation gates, job isolation, scoped recovery, human authority, and operational readback.

Read the GitHub case study · View the visual walkthrough

What I build

  • Agent and workflow/state architectures
  • Evaluation, guardrails, observability, rollback, and recovery
  • Human-in-the-loop operational products
  • Data reconciliation and decision-support systems
  • Client-facing AI solutions from ambiguous requirements to adoption

Contact

LinkedIn · Email

Hong Kong permanent resident · Open to APAC and international opportunities

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    Closed-source case study of a production multimodal agent with evidence grounding, evaluation, scoped recovery, and human review.

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  3. L-iquor L-iquor Public

    Applied AI product builder working across agent systems, evaluation, financial markets, and live operations.